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DBMS > Faircom DB vs. InfinityDB vs. Splunk vs. TigerGraph

System Properties Comparison Faircom DB vs. InfinityDB vs. Splunk vs. TigerGraph

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonInfinityDB  Xexclude from comparisonSplunk  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A Java embedded Key-Value Store which extends the Java Map interfaceAnalytics Platform for Big DataA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value store
Relational DBMS
Key-value storeSearch engineGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score89.10
Rank#14  Overall
#2  Search engines
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.faircom.com/­products/­faircom-dbboilerbay.comwww.splunk.comwww.tigergraph.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlboilerbay.com/­infinitydb/­manualdocs.splunk.com/­Documentation/­Splunkdocs.tigergraph.com
DeveloperFairCom CorporationBoiler Bay Inc.Splunk Inc.
Initial release1979200220032017
Current releaseV12, November 20204.0
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialcommercial infoLimited free edition and free developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++JavaC++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
All OS with a Java VMLinux
OS X
Solaris
Windows
Linux
Data schemeschema free, schema optional, schema required, partial schema,yes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesno
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsnono infoSplunk Search Processing Language for search commandsSQL-like query language (GSQL)
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP RESTGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
JavaC#
Java
JavaScript
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++noyesyes
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).noneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Foreign keys infoReferential integrityyesno infomanual creation possible, using inversions based on multi-value capabilitynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentACID infoOptimistic locking for transactions; no isolation for bulk loadsno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesnoAccess rights for users and rolesRole-based access control

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More resources
Faircom DB infoformerly c-treeACEInfinityDBSplunkTigerGraph
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